Título
ViSOM Ensembles for Visualization and Classification
Autor(es)
Palabras clave
Fecha de publicación
2007
Editor
Springer Science + Business Media
Citación
Computational and Ambient Intelligence. 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007. Proceedings. Lecture Notes in Computer Science. Volumen 4507.
Resumen
In this paper ensemble techniques have been applied in the frame of topology preserving mappings in two applications: classification and visualization. These techniques are applied for the first time to the ViSOM and their performance is compared with ensemble combination of some other topology preserving mapping such as the SOM or the MLSIM. Several methods to obtain a meaningful combination of the components of an ensemble are presented and tested together with the existing ones in order to identify the best performing method in the applications of these models.
URI
ISBN
978-3-540-73006-4 (Print) / 978-3-540-73007-1 (Online)
ISSN
0302-9743 (Print) / 1611-3349 (Online)
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